Due to the shortage of detecting characteristic parameter, a single detection signal based fire alarm usually cause leak-check,error and solidified conditions and parameters. In order to reduce such situation, we design an intellectualized fire alarm system based on light intensity sensor, smoke sensor and temperature sensor. The alarm comes from the use of C8051F040 MCU collect temperature, smoke and light intensity sensor signal, and the use of continuous probability model of a comprehensive analysis and processing, to improve the accuracy and timeliness of the fire alarm. Through the CAN bus communication interfaces transmit the processed information to the monitors and building controllers, and control of related fire-fighting equipment movement, that constitute a fire alarm system. This paper details the hardware structure, and the mathematical model of continuous probability judgments and its implementation. Simulation test set fire alarm early warning probability for 15 ％, alarm probability for 50 ％. The results showed that: The alarm can accurately and quickly respond to the probability of the fire process, and give early warning, alarm signals and act related firefighting equipment.%针对传统的基于单一检测信号的火灾报警器易造成失判和误判以及条件参数固化的问题,设计了一种基于光强、烟雾离子、温度检测的智能火灾报警器;该报警器利用C8051F040单片机采集来自温度、烟雾和光强传感器的信号,并运用连续概率模型进行综合分析处理,提高了火灾报警的准确性和及时性;可以通过CAN总线通信接口把报警器处理后的信息传递给监控计算机和楼宇控制器,并控制相关消防设备动作,构成火灾报警系统;论文详细介绍了报警器的硬件构成,连续概率判断的数学模型及其实现方法;模拟测试中将报警器火灾预警概率设置15%,报警概率设置50%,实验结果表明;报警器能够准确、快速地反应整个火灾概率过程,并给出预警、报警信号以及动作相关消防设备.
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